# Lead Capture Workflow

Industry: Small Business
Difficulty: Beginner
Estimated setup time: 2-3 hours once CRM fields are defined
Conservative time saved estimate: May save 1-3 hours per week and reduce manual data entry

Use this as a starting brief for an AI agent workflow. Review outputs before sending to customers or updating business records.

## Problem it solves
Leads arrive in different places and often miss useful details such as budget, timing, and service interest.

## Desired outcome
Every lead is captured consistently, tagged by intent, and queued for follow-up.

## Best for
Owner-led teams using a spreadsheet or CRM to track enquiries.

## What it automates
Lead field extraction, CRM note drafts, tags, and next-step reminders.

## Tools needed
- Website form
- CRM or spreadsheet
- Automation builder
- AI assistant

## Recommended real-world tools
- HubSpot: https://www.hubspot.com/
  - Best use case: Lead capture, CRM notes, follow-up tasks, and customer records.
  - Pricing note: Check official pricing before purchase.
  - Disclosure: Direct official link. No affiliate or sponsored relationship.
  - Last checked: 2026-06-21
- Zapier: https://zapier.com/
  - Best use case: Moving approved data between tools and triggering draft-mode workflows.
  - Pricing note: Check official pricing before purchase.
  - Disclosure: Direct official link. No affiliate or sponsored relationship.
  - Last checked: 2026-06-21
- ChatGPT: https://chatgpt.com/
  - Best use case: Draft prompts, customer replies, summaries, content, and workflow policies.
  - Pricing note: Check official pricing before purchase.
  - Disclosure: Direct official link. No affiliate or sponsored relationship.
  - Last checked: 2026-06-21

## Setup steps
1. Choose the CRM fields the agent may populate.
2. Create lead source and intent tags.
3. Write a rule for incomplete leads and duplicate records.
4. Review the first 25 records before allowing automatic updates.

## Example prompt
Extract the lead details from this message. Return structured fields for source, service interest, urgency, location, budget if stated, and next action. Mark missing fields clearly.

## Human approval rules
- Review customer-facing messages before sending during the pilot.
- Escalate complaints, legal issues, financial commitments, safety issues, and uncertain answers.
- Do not allow the agent to invent facts, pricing, availability, or policy wording.
- Keep a log of reviewed outputs and corrections.

## Test plan
- Sample size: Start with 10-25 real examples before expanding.
- Success metric: Time saved after review, response quality, correction rate, and customer impact.
- Review questions: Was the source data accurate? Did the agent stay within policy? Did a person approve the right cases?
- Rollback plan: Pause automation, disconnect tool access, and return to manual processing if outputs are unreliable.

## Related pages
- https://nexusdirective.com/ai-agents-for-small-business/
- https://nexusdirective.com/compare/chatgpt-vs-claude-vs-gemini-agents/

## Disclosure
Tool links are official website links and are not affiliate or sponsored links unless marked otherwise. Check official pricing and vendor terms before purchase.